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Analyse & Kritik

Journal of Philosophy and Social Theory

Ed. by Baurmann, Michael / Leist, Anton / Tranow, Ulf

Online
ISSN
2365-9858
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Volume 29, Issue 1

Issues

Aging and Neuroeconomics: Insights from Research on Neuromodulation of Reward-based Decision Making

Shu-Chen Li / Guido Biele / Peter N. C. Mohr / Hauke R. Heekeren
Published Online: 2016-05-14 | DOI: https://doi.org/10.1515/auk-2007-0107

Abstract

‘Neuroeconomics’ can be broadly defined as the research of how the brain interacts with the environment to make decisions that are functional given individual and contextual constraints. Deciphering such brain-environment transactions requires mechanistic understandings of the neurobiological processes that implement value-dependent decision making. To this end, a common empirical approach is to investigate neural mechanisms of reward-based decision making. Flexible updating of choices and associated expected outcomes in ways that are adaptive for a given task (or a given set of tasks) at hand relies on dynamic neurochemical tuning of the brain’s functional circuitries involved in the representation of tasks, goals and reward prediction. Empirical evidence as well as computational theories indicate that various neurotransmitter systems (e.g., dopamine, norepinephrine, and serotonin) play important roles in reward-based decision making. In light of the apparent aging-related decline in various aspects of the dopaminergic system as well as the effects of neuromodulation on reward-related processes, this article focuses selectively on the literature that highlights the triadic relations between dopaminergic modulation, reward-based decision making, and aging. Directions for future research on aging and neuroeconomoics are discussed.

About the article

Published Online: 2016-05-14

Published in Print: 2007-05-01


Citation Information: Analyse & Kritik, Volume 29, Issue 1, Pages 97–111, ISSN (Online) 2365-9858, ISSN (Print) 0171-5860, DOI: https://doi.org/10.1515/auk-2007-0107.

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© 2007 by Lucius & Lucius, Stuttgart.

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[1]
Ben Eppinger, Dorothea Hämmerer, and Shu-Chen Li
Annals of the New York Academy of Sciences, 2011, Volume 1235, Number 1, Page 1
[2]
Jing Yu, Loreen Mamerow, Xu Lei, Lei Fang, and Rui Mata
Frontiers in Aging Neuroscience, 2016, Volume 8
[3]
Mariann R. Weierich, Elizabeth A. Kensinger, Alicia H. Munnell, Steven A. Sass, Brad C. Dickerson, Christopher I. Wright, and Lisa Feldman Barrett
Social Cognitive and Affective Neuroscience, 2011, Volume 6, Number 2, Page 195

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